BioTrak: A Blockchain-based Platform for Food Chain Logistics
Traceability
- URL: http://arxiv.org/abs/2304.09601v3
- Date: Thu, 27 Apr 2023 10:09:53 GMT
- Title: BioTrak: A Blockchain-based Platform for Food Chain Logistics
Traceability
- Authors: A. Spitalleri, I. Kavasidis, V. Cartelli, R. Mineo, F. Rundo, S.
Palazzo, C. Spampinato, D. Giordano
- Abstract summary: BioTrak is a platform capable of registering and visualizing the whole chain of transformation and transportation processes.
The platform includes Business Process Modelling methods to aid food supply chain stakeholders to optimize their processes.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The food supply chain, following its globalization, has become very complex.
Such complexities, introduce factors that influence adversely the quality of
intermediate and final products. Strict constraints regarding parameters such
as maintenance temperatures and transportation times must be respected in order
to ensure top quality and reduce to a minimum the detrimental effects to public
health. This is a multi-factorial endeavor and all of the involved stakeholders
must accept and manage the logistics burden to achieve the best possible
results.
However, such burden comes together with additional complexities and costs
regarding data storage, business process management and company specific
standard operating procedures and as such, automated methods must be devised to
reduce the impact of such intrusive operations.
For the above reasons, in this paper we present BioTrak: a platform capable
of registering and visualizing the whole chain of transformation and
transportation processes including the monitoring of cold chain logistics of
food ingredients starting from the raw material producers until the final
product arrives to the end-consumer.
The platform includes Business Process Modelling methods to aid food supply
chain stakeholders to optimize their processes and also integrates a blockchain
for guaranteeing the integrity, transparency and accountability of the data.
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